Predictive Accuracy of Machine Learning Algorithms in Recommender Systems

Dumón, Marcos

Trabajo final de especialización:
Predictive Accuracy of Machine Learning Algorithms in Recommender Systems

dc.contributor.advisor	Gómez, Leticia Irene
dc.contributor.author	Dumón, Marcos
dc.date.accessioned	2019-12-04T11:33:12Z
dc.date.available	2019-12-04T11:33:12Z
dc.date.issued	2019
dc.description.abstract	This work presents a systematic literature review on the application of Machine Learning algorithms in the development of effective movie recommender systems. With the increasing popularity of movie recommender systems in the entertainment industry, selecting appropriate algorithms has become crucial for delivering personalized and accurate recommendations to users. Through an extensive literature search and rigorous methodology, this work identifies and analyzes commonly used Machine Learning algorithms for movie recommendation. The accuracy and performance of these algorithms are evaluated using established evaluation methods and metrics on movie datasets of different sizes. The evaluation takes into account factors such as prediction accuracy, scalability, and robustness. The comparative analysis provides valuable insights into the effectiveness of various Machine Learning algorithms in the context of movie recommendation. The findings contribute to the understanding of algorithmic performance, enabling researchers and practitioners to make informed decisions when developing movie recommender systems. Additionally, the work explores the impact of different hyperparameters and optimization techniques on algorithm performance. The results of this work aim to improve the quality of movie recommendations and enhance user satisfaction. By providing guidelines and recommendations for algorithm selection and optimization, this work contributes to the advancement of movie recommender systems and the overall movie-watching experience.	es
dc.description.notes	Trabajo Final Ciencia de Datos (especialización) - Instituto Tecnológico de Buenos Aires, Buenos Aires, 2019	es
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/1834
dc.language.iso	en	es
dc.subject	APRENDIZAJE AUTOMATICO	es
dc.subject	ALGORITMOS	es
dc.subject	SISTEMAS DE RECOMENDACION	es
dc.subject	INTELIGENCIA ARTIFICIAL	es
dc.title	Predictive Accuracy of Machine Learning Algorithms in Recommender Systems	es
dc.type	Trabajo final de especialización	es
dspace.entity.type	Trabajo final de especialización
itba.description.filiation	Fil: Dumón, Marcos. Instituto Tecnológico de Buenos Aires; Argentina.